Demonstration venue · read-only. Every page can be browsed; the buttons that would change it are switched off. Create an account to run TaxoReview on your own data. A simulation from public publication records: the people listed were not invited and did not agree to review.
? Tutorial for this page

John L. Wilson

dblp:24/5843 · DBLP profile ↗
← Back
6ranked-venue papers
1as first author
0since 2021 · last 1993
0000-0001-6650-308XORCID · corroborated

Domains — the database's venue-derived domains; a paper can count in several

Graphics, computer vision, multimedia, augmented reality and games · 4 · 1 first-authorArtificial intelligence and machine learning · 2Human-computer interaction and ubiquitous computing · 2 · 1 first-authorSoftware engineering, systems software and programming languages · 1Databases, data management, data science and information retrieval · 1

Expertise — from the expertise taxonomy: the topics of the expert's papers under the CCF categories. A weight counts papers with recency: 1 for a paper about the topic, 0.3 when the topic is its context, halved every five years.

Software engineering, system software, and programming languages
1 paper
Requirements engineering and software design · 100%
Artificial intelligence
1 paper
Knowledge representation and reasoning · 100%
Computer graphics and multimedia
2 papers
Visualization and visual analytics · 100%
Interdisciplinary, comprehensive, and emerging computing
2 papers
Computational science and engineering · 100%

Topics — the 4 heaviest of 7, each with the papers that count most for it

TopicWeightPapersLastEvidence papers
Requirements engineering and software design › object-oriented analysis and design
object-oriented design
0.011993
Design Guidelines for Object-Oriented Deductive Systems · IEEE Trans. Knowl. Data Eng. 1993
Requirements engineering and software design
software architecture
0.011993
Design Guidelines for Object-Oriented Deductive Systems · IEEE Trans. Knowl. Data Eng. 1993
Knowledge, reasoning and agents › Knowledge representation and reasoning › knowledge-based systems
knowledge-based system design
0.011993
Design Guidelines for Object-Oriented Deductive Systems · IEEE Trans. Knowl. Data Eng. 1993
Knowledge, reasoning and agents › Knowledge representation and reasoning
ontology
0.011993
Design Guidelines for Object-Oriented Deductive Systems · IEEE Trans. Knowl. Data Eng. 1993

Methods — techniques the papers use, named apart from their topics

object-oriented deductive formalism · 0.0multi-paradigm design · 0.0finite element analysis · 0.0
YearPublicationVenuePosition
1993 Design Guidelines for Object-Oriented Deductive Systems
abstract
This paper presents a set of design guidelines for the construction of complex, real-world problem-solving systems using a hybrid object-oriented deductive formalism. These guidelines address implementation issues in a multi-paradigm environment. Examples are provided in the context of a large-scale knowledge based system (KBS).>
Stephen T. C. Wong, John L. Wilson
IEEE Trans. Knowl. Data Eng.2
1989 Extending knowledge-based systems through closely-coupled graphics and windows
abstract
No abstract available.
Stephen T. C. Wong, John L. Wilson
IEA/AIE (2)2
1989 Object Formation in A Hybrid Knowledge Representation
Stephen T. C. Wong, John L. Wilson
SEKE2
1976 Interactive computer graphics for computer aided design in civil engineering
abstract
Interactive computer graphics can be an effective and efficient aid in the analysis/design cycle of engineering problems. The vistas of much engineering research and design can be expanded with the tools and methodology available with the introduction of an interactive computer graphics (ICG) system into an academic or industrial environment. Specific attention is given in this paper to new areas of application of ICG in civil engineering; guidelines for the planning of ICG systems; practical applications in bridge design and shipbuilding; and economic considerations involved in using ICG systems.
John L. Wilson, Charles R. Lansberry
SIGGRAPH1
1975 Interactive modeling system for bridges
Sidney Shore, John L. Wilson, Gholam A. Semsarzadeh
Comput. Graph.2
1974 Interactive modeling system for bridges
abstract
The modeling system described in this paper was developed in conjunction with computer program called STACRB that was developed in the CURT research project at the University of Pennsylvania. In essence, the static behavior of horizontally curved and straight aligned bridge structures.The modeling system communicates with the user through a problem oriented language. The commands in this language allow the user to define the parameters that characterize the structure, modify an already completed for a structure. The commands are entered in free format and are executed interpretively, thus allowing the user to communicate with the system in a conversational mode. The user may also enter the command on punched cards and execute the routine as a non-conversational batch job. The modeling system can be used to either control the analysis or operate independently from it. In the former case, the modeling system synthesizes the structure, then calls on the STACRB program to analyze it. When the analysis is completed, the control is returned to the modeling system to interpret the results of the analysis according to the commands supplied by the user. In the latter case, the results from the modeling procedure alone are punched onto cards which may subsequently be inputted to the analysis routine.The modeling system also includes facilities for graphical displays of components of the designed structure such as structure geometry and element discretization or results of analysis such as nodal deflections, reactions and element stresses. The displays may be produced either on the line printer for conversational purposes or on a CALCOMP plotter.The overall increased efficiency introduced by the modeling system in the analysis/design cycle of a bridge structure is quite significant.
Sidney Shore, John L. Wilson, Gholam A. Semsarzadeh
SIGGRAPH2